license: creativeml-openrail-m
所有的预览图没有使用embedding,lora
我的融合模型:
DreaMirror:https://civitai.com/models/30294 / https://huggingface.co/Fre2C/DreaMirror-Mix
UnreaLibrary:https://civitai.com/models/91609 / https://huggingface.co/Fre2C/UnreaLibrary-Mix
这个模型的方向是尽可能忠于提示词(在2D模型中这好像有点难),保留2D模型的创造性(所以我并没有融合3D/2.5D模型。所以大部分时间都在与手部进行搏斗),合适的明暗对比。
你可以用它尝试任何东西!如果你觉得这个模型不错,可以评价一下以及上传你的图片。
从以下地方学习了很多,十分感谢。
https://huggingface.co/WarriorMama777/OrangeMixs
https://civitai.com/models/9409/or-anything-v5
https://economylife.net/u-net-marge-webui1111/
https://docs.qq.com/doc/DTkRodlJ1c1VzcFBr?u=e7c714671e694797a04f1d58aff5c8b0
https://docs.qq.com/doc/DQ1Vzd3VCTllFaXBv?_t=1685979317852&u=e7c714671e694797a04f1d58aff5c8b0
使用建议:
脸部出现崩坏的情况,以及想提升面部质量,使用局部重绘 重绘区域使用仅蒙版(效果最好)获得更好的面部,或使用Hires. fix改善,使用其他随机种或者工具也是不错的办法。
较高的分辨率(比512 * 512高一点)再加上Hires. fix,图片质量会更好(如果显存不够你可以尝试低倍率的Hires. fix或者其他放大方法)。
用于画面质量的正面提示词(像 best quality)是不必要的,会减少画面的可能性,还会使画面趋于一种风格。
将你原本用在正面质量提示词上的权重,用在负面质量提示词上,那是更好的选择。
如果觉得画面内容不够丰富,你可以尝试细致地描述,使画面更加贴近你的想象。
如果你想用很少的提示词抽奖的话,最好把雨伞(umbrella)加进负面提示词(至少在V1是这样的)。
我一般在效果不符合预期时使用clip2。
随你喜好使用lora!
All preview images do not use embedding,lora.
The direction of this model is to be as faithful as possible to the prompt words(This seems a bit difficult in a 2D model), preserve the creativity of 2D models(So I did not merge the 3D/2.5D models. So most of the time is fighting with the hands), appropriate light and dark contrast.
You can try anything with it!
I have learned a lot from the following places, thank you very much.
https://huggingface.co/WarriorMama777/OrangeMixs
https://civitai.com/models/9409/or-anything-v5
https://economylife.net/u-net-marge-webui1111/
https://rentry.org/Merge_Block_Weight_-china-_v1_Beta#1-introduction(This is the translated version)
https://docs.qq.com/doc/DQ1Vzd3VCTllFaXBv?_t=1685979317852&u=e7c714671e694797a04f1d58aff5c8b0
Suggestions for use:
If the face appears to be falling apart, and you want to improve the quality of the face, use Inpaint and Inpaint area use only Masked (Best results) to get a better face, or use Hires. fix to improve, use other seed or tools is also a good way.
Higher resolution (a little higher than 512 * 512) plus Hires. fix, picture quality will be better (if the gpu memory is not enough you can try a Low magnification of Hires. fix or other upscale tools).
Positive prompt for image quality (like best quality) are unnecessary and reduce the possibilities of the picture, also make the picture tend to be in a style.
It's better to Use the weight you would have used for positive quality prompt on negative quality prompt.
If you feel that the content of the picture is not rich enough, You can try to describe in detail to make the picture more closely to your imagination.
If you want to sweepstakes with few prompts, it is better to add umbrella to the negative prompt (at least in V1).
I usually use clip2 when the results don't meet expectations.
Use lora as you like!
我使用这两个VAE/I use these two VAEs: https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/vae/kl-f8-anime2.ckpt https://civitai.com/models/22354/clearvae
使用的模型/Models used
kawaiimixNijiV5Cute_v10【58f37f4736】
Counterfeit-V3.0_fp32【17277FBE68】
pikasNewGeneration_v20【6C509880A5】
breakdomainanime_A0440【1870FA10C3】
plagion_v10【0C42B21C09】
AnythingV5V3_v5PrtRE【7f96a1a9ca】
tComicV35_v35【25750140EA】
配方/Recipe
use:https://github.com/hako-mikan/sd-webui-supermerger/
kawaiimixNijiV5Cute_v10 x (1-alpha) + Counterfeit-V3.0_fp32 x alpha)x(1-beta)+ pikasNewGeneration_v20 x beta alpha:0.7,1.0,0.9,0.8,0.7,0.6,0.6,0.7,0.8,0.9,0.7,0.5,0.7,0.7,0.85,0.75,0.65,0.75,0.85,0.75,0.65,0.75,0.85,0.9,0.8,0.8 beta:0.75,0.35,0.45,0.55,0.65,0.75,0.85,0.75,0.85,0.75,0.6,0.6,0.6,0.5,0.35,0.45,0.55,0.6,0.65,0.55,0.6,0.5,0.35,0.4,0.5,0.4
named as step1
breakdomainanime_A0440 x (1-alpha) + plagion_v10 x alpha)x(1-beta)+ step1 x beta alpha:0.25,0.35,0.45,0.55,0.65,0.55,0.45,0.55,0.4,0.6,0.7,0.75,0.8,0.4,0.4,0.5,0.6,0.7,0.8,0.6,0.5,0.4,0.5,0.4,0.7,0.7 beta:0.7,0.85,0.75,0.65,0.55,0.7,0.6,0.5,0.4,0.5,0.6,0.5,0.4,0.6,0.8,0.7,0.6,0.8,0.7,0.6,0.5,0.4,0.5,0.6,0.5,0.4
named as step2
AnythingV5V3_v5PrtRE x (1-alpha) + tComicV35_v35 x alpha)x(1-beta)+ step2 x beta alpha:0.65,0.75,0.65,0.75,0.65,0.75,0.65,0.75,0.85,1.0,0.85,0.75,0.85,0.4,0.65,0.75,0.65,0.45,0.3,0.15,0.3,0.45,0.65,0.75,0.8,0.8 beta:0.75,0.25,0.35,0.45,0.55,0.75,0.85,0.75,0.85,0.75,0.85,1.0,1.0,0.7,0.35,0.45,0.55,0.75,0.65,0.75,0.65,0.55,0.45,0.35,0.75,0.85
prune and get final fp16 version